A Multi-Disciplinary approach for Real Time Health Monitoring using Internet-of-Things (IoT)

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http://doi.org/10.22214/ijraset.2020.7035

July 2020

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A Multi-Disciplinary approach for Real Time Health Monitoring using Internet-of-Things (IoT)

Published on Jul 7, 2020

IJRASET

This paper presents a literature survey on FPGA/RASPBERRY-PI/ARDUINO and MATLAB based patient health monitoring system, proposed system is a health care monitoring and patient data acquisition through FPGA/RASPBERRYPI/ARDUINO and data processing through MATLAB. This type of system is very advantageous for the patients under the critical situations, some patients need to be monitored carefully in time to time and also need to be monitored continuously to keep a track on their condition. MATLAB is the best tool for biomedical signals (sensor data) processing, MATLAB R2020a is having the add-ons such as Matlab supporting package for FPGA/FPGA/Raspberry-pi/Arduino/Raspberry-pi, Simulink supporting package for FPGA/Raspberry-pi/Arduino hardware.

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